Real-Time Data Engineer

4 weeks ago


San Francisco, California, United States Unreal Gigs Full time
Unreal Gigs is seeking a highly skilled Data Engineer for Real-Time Solutions to join our team. As a key member of our data engineering team, you will play a pivotal role in designing, building, and optimizing our real-time data infrastructure and systems.

**Key Responsibilities:**

* Design and develop real-time data pipelines to ingest, process, and analyze streaming data from various sources, ensuring low-latency and high-throughput.
* Implement stream processing applications using technologies such as Apache Kafka, Apache Flink, Apache Spark Streaming, or AWS Kinesis to process and analyze real-time data streams.
* Integrate real-time data streams with existing data systems and applications, ensuring data consistency and coherence across systems.
* Transform and enrich real-time data streams to derive meaningful insights and enable real-time decision-making, using techniques such as complex event processing (CEP) and real-time analytics.
* Implement data quality checks, validation rules, and error handling mechanisms to ensure the accuracy, completeness, and consistency of real-time data.
* Optimize real-time data processing pipelines for speed, scalability, and efficiency, tuning streaming applications and leveraging distributed computing technologies.
* Monitor real-time data infrastructure and systems for performance, reliability, and availability, proactively identifying and addressing issues to minimize downtime and ensure data integrity.
* Document real-time data architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.

**Requirements:**

* Bachelor's degree or higher in Computer Science, Engineering, or related field.
* Strong background in real-time data engineering, with hands-on experience in designing, building, and optimizing real-time data solutions.
* Proficiency in programming languages such as Python, Java, or Scala, and experience with stream processing frameworks such as Apache Kafka, Apache Flink, or Apache Spark Streaming.
* Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for real-time data processing (e.g., AWS Kinesis, Google Cloud Dataflow, Azure Stream Analytics).
* Knowledge of distributed computing technologies and concepts, including message brokers, distributed databases, and microservices architecture.
* Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
* Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

**Benefits:**

* Competitive salary: The industry standard salary for Real-Time Data Engineers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications.
* Comprehensive health, dental, and vision insurance plans.
* Flexible work hours and remote work options.
* Generous vacation and paid time off.
* Professional development opportunities, including access to training programs, conferences, and workshops.
* State-of-the-art technology environment with access to cutting-edge tools and resources.
* Vibrant and inclusive company culture with team-building activities and social events.
* Opportunities for career growth and advancement within the company.
* Exciting projects with real-world impact in the field of real-time data engineering.
* Chance to work alongside top talent and industry experts in real-time data engineering.

**About Unreal Gigs:**

Unreal Gigs is a leading company in the field of real-time data engineering, dedicated to harnessing the power of real-time data to drive insights and enable real-time decision-making. We are committed to developing scalable and efficient real-time data solutions that empower organizations to leverage data in real-time.

If you are passionate about real-time data engineering and eager to drive innovation through scalable data solutions, we want you on our team. Apply now to join our team and be part of an exciting journey of innovation and discovery.

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